Канал: Stat Pharm

HIS Course (Arabic) - Lecture 7

HIS Course (Arabic) - Lecture 7

[Arabic] Dos and Don'ts for good clinical data management practices in Excel.

[Arabic] Dos and Don'ts for good clinical data management practices in Excel.

[ARABIC] Why use date in ISO format ? and How to configure your Windows to use ISO dates ?

[ARABIC] Why use date in ISO format ? and How to configure your Windows to use ISO dates ?

Competing Risk Regression using SAS (and Comparison to R results)

Competing Risk Regression using SAS (and Comparison to R results)

[ARABIC] SAS bel3arabi: Create Tables from Shell and Back (Part 1)

[ARABIC] SAS bel3arabi: Create Tables from Shell and Back (Part 1)

(ARABIC) Research Methodology and study design

(ARABIC) Research Methodology and study design

HIS Course (Arabic) - Lecture 10

HIS Course (Arabic) - Lecture 10

HIS Course (Arabic) - Lecture 5

HIS Course (Arabic) - Lecture 5

[Arabic] Real World Data (RWD) / Real World Evidence (RWE) in a Nutshell

[Arabic] Real World Data (RWD) / Real World Evidence (RWE) in a Nutshell

HIS Course (Arabic) - Lecture 9

HIS Course (Arabic) - Lecture 9

HIS Course (Arabic) - Lecture 4

HIS Course (Arabic) - Lecture 4

HIS Course (Arabic) - Lecture 3

HIS Course (Arabic) - Lecture 3

HIS Course (Arabic) - Lecture 2

HIS Course (Arabic) - Lecture 2

HIS Course (Arabic) - Lecture 1

HIS Course (Arabic) - Lecture 1

[ARABIC] missing data pattern: md.pattern using mice

[ARABIC] missing data pattern: md.pattern using mice

[ARABIC] SAS bel3arabi: Part 04; Import XLSX

[ARABIC] SAS bel3arabi: Part 04; Import XLSX

[ARABIC] SAS bel3arabi: Part 03; Import CSV

[ARABIC] SAS bel3arabi: Part 03; Import CSV

[ARABIC] Propensity Score Matching: Part (3)

[ARABIC] Propensity Score Matching: Part (3)

[ARABIC] Propensity Score Matching: Part (2)

[ARABIC] Propensity Score Matching: Part (2)

[Arabic] Overlay heatmap on image / map

[Arabic] Overlay heatmap on image / map

[ARABIC] Propensity Score Matching: Part (1)

[ARABIC] Propensity Score Matching: Part (1)

[ARABIC] Multiple regression: covariate adjustment, why ?

[ARABIC] Multiple regression: covariate adjustment, why ?

[ARABIC] SAS bel3arabi: Part 02; Anatomy of SAS Program (DATA Step)

[ARABIC] SAS bel3arabi: Part 02; Anatomy of SAS Program (DATA Step)

[ARABIC] SAS bel3arabi: Part 01; Overview of SAS Studio

[ARABIC] SAS bel3arabi: Part 01; Overview of SAS Studio

[Arabic] SAS: Import CSV and perform COX regression

[Arabic] SAS: Import CSV and perform COX regression

[Arabic] SAS Tasks: Linear Regression and Survival Analysis in less than 5 minutes

[Arabic] SAS Tasks: Linear Regression and Survival Analysis in less than 5 minutes

[ARABIC] SAS motivation: Survival Analysis (Kaplan Meier and Life Tables.)

[ARABIC] SAS motivation: Survival Analysis (Kaplan Meier and Life Tables.)

[ARABIC] Validate your data and create beautiful reports using data.validator R package (Arabic)

[ARABIC] Validate your data and create beautiful reports using data.validator R package (Arabic)

[ARABIC] Estimate Cutpoints for continuous predictor and time to event outcome (Arabic): Part 2 of 2

[ARABIC] Estimate Cutpoints for continuous predictor and time to event outcome (Arabic): Part 2 of 2

[ARABIC] Estimate Cutpoints for continuous predictor and time to event outcome (Arabic): Part 1 of 2

[ARABIC] Estimate Cutpoints for continuous predictor and time to event outcome (Arabic): Part 1 of 2

[ARABIC] Interpret cox regression output coxph() function in R (Arabic)

[ARABIC] Interpret cox regression output coxph() function in R (Arabic)

[ARABIC] The Secret of the Function I() (Arabic)

[ARABIC] The Secret of the Function I() (Arabic)

[Arabic] Understanding ggplot Data Visualization (ARABIC): Part (1)

[Arabic] Understanding ggplot Data Visualization (ARABIC): Part (1)

How to run R script from PHP on Linux Ubuntu

How to run R script from PHP on Linux Ubuntu

Basics of Interim Analysis with R example for Pocock and O'Brien Fleming in less than 3 minutes !

Basics of Interim Analysis with R example for Pocock and O'Brien Fleming in less than 3 minutes !

Contemplating dataframe write operations in R: writexl vs xlsx

Contemplating dataframe write operations in R: writexl vs xlsx

Arabic Webinar Highlights كود السجلات الالكترونية الفيدرالي

Arabic Webinar Highlights كود السجلات الالكترونية الفيدرالي

RnaSeqSampleSize

RnaSeqSampleSize

Handle Big Datasets with Minimal Resources using R

Handle Big Datasets with Minimal Resources using R

Calculate Median Follow-up time and Median Survival time using R

Calculate Median Follow-up time and Median Survival time using R

Add Labels to DataFrame Columns using R

Add Labels to DataFrame Columns using R

Create a Standalone Pivot Table and Charts from your dataset using R

Create a Standalone Pivot Table and Charts from your dataset using R

Discrete Event Simulation using R (7): Attributes and rollback part2

Discrete Event Simulation using R (7): Attributes and rollback part2

Discrete Event Simulation using R (6): Static and Dynamic Prioritization (No Audio)

Discrete Event Simulation using R (6): Static and Dynamic Prioritization (No Audio)

Discrete Event Simulation using R (5): Attributes and rollback part1

Discrete Event Simulation using R (5): Attributes and rollback part1

Contemplating Cutoffs: Toolkit for cutoffs, confusion matrix and ROC curves using R

Contemplating Cutoffs: Toolkit for cutoffs, confusion matrix and ROC curves using R

Account for Interaction in linear regression using R

Account for Interaction in linear regression using R

Data Envelopment Analysis: R deaR and DEAP (ARABIC)

Data Envelopment Analysis: R deaR and DEAP (ARABIC)

Edit Dataframe in spreadsheet view using R fix() function

Edit Dataframe in spreadsheet view using R fix() function

Sample Size for Survival Part 5: spower tip sim loop plot

Sample Size for Survival Part 5: spower tip sim loop plot

Sodium: An Easy-to-Use Crypto Library in R

Sodium: An Easy-to-Use Crypto Library in R

Sample Size for Survival Part 4: Calculate using power and sample size program

Sample Size for Survival Part 4: Calculate using power and sample size program

Sample Size for Survival Part 3: Calculate using R

Sample Size for Survival Part 3: Calculate using R

Calculation of Sample Size for Survey, Pilots and Pre-testing

Calculation of Sample Size for Survey, Pilots and Pre-testing

Sample Size for Survival Part 2 Convert Hazard Rate to Survival and Back

Sample Size for Survival Part 2 Convert Hazard Rate to Survival and Back

Sample Size for Survival Part 1 Hazard Rate and Hazard Ratio

Sample Size for Survival Part 1 Hazard Rate and Hazard Ratio

Sample Size Series: Two samples t test (Part 2: using GPower)

Sample Size Series: Two samples t test (Part 2: using GPower)

Sample Size Series: Two samples t test (Part 1: using R)

Sample Size Series: Two samples t test (Part 1: using R)

Discrete Event Simulation using R (4): Customize Inter Arrival Time

Discrete Event Simulation using R (4): Customize Inter Arrival Time

Fit distribution of data using R

Fit distribution of data using R

Non-inferiority mixed modeling using R

Non-inferiority mixed modeling using R

recommender system using R Basic Concepts Part 2 Movie Rating Example

recommender system using R Basic Concepts Part 2 Movie Rating Example

recommender system using R (Basic Concepts): Part 1 Euclidean Distance

recommender system using R (Basic Concepts): Part 1 Euclidean Distance

R tips and tricks: file checksum using R

R tips and tricks: file checksum using R

Biostatistics Using R: lecture 4 (Inferential et al.) _part3_

Biostatistics Using R: lecture 4 (Inferential et al.) _part3_

Biostatistics Using R: lecture 4 (Inferential et al.) _part2_

Biostatistics Using R: lecture 4 (Inferential et al.) _part2_

Biostatistics Using R: lecture 4 (Inferential et al.) _part1_

Biostatistics Using R: lecture 4 (Inferential et al.) _part1_

Quick Demo: Compare Strategy A and C to Base Strategy B using R (PSA modeling and Simulation)

Quick Demo: Compare Strategy A and C to Base Strategy B using R (PSA modeling and Simulation)

Biostatistics Using R: lecture 3 (Probability et al.) _part5_

Biostatistics Using R: lecture 3 (Probability et al.) _part5_

Biostatistics Using R: lecture 3 (Probability et al.) _part4_

Biostatistics Using R: lecture 3 (Probability et al.) _part4_

Biostatistics Using R: lecture 3 (Probability et al.) _part3_

Biostatistics Using R: lecture 3 (Probability et al.) _part3_

Healthcare Interoperability: Quick Demo using API

Healthcare Interoperability: Quick Demo using API

Biostatistics Using R: lecture 3 (Probability et al.) _part2_

Biostatistics Using R: lecture 3 (Probability et al.) _part2_

Biostatistics Using R: lecture 3 (Probability et al.) _part1_

Biostatistics Using R: lecture 3 (Probability et al.) _part1_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part3_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part3_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part2_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part2_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part1_

Biostatistics Using R: lecture 2 (Introduction to Statistical Data Analysis) _part1_

Biostatistics Using R: lecture 1 (Introduction to R) _part2_

Biostatistics Using R: lecture 1 (Introduction to R) _part2_

Biostatistics Using R: lecture 1 (Introduction to R) _part1_

Biostatistics Using R: lecture 1 (Introduction to R) _part1_

Health Information Technology (Arabic / English) Part (3)

Health Information Technology (Arabic / English) Part (3)

Health Information Technology (Arabic / English) Part (2)

Health Information Technology (Arabic / English) Part (2)

Health Information Technology (Arabic / English) Part (1)

Health Information Technology (Arabic / English) Part (1)

Clinical Research History of Human Subject Protection (Arabic / English)

Clinical Research History of Human Subject Protection (Arabic / English)

Choosing EMR Best Practices

Choosing EMR Best Practices

Webinar Introduction to Clinical Research and Data Analysis Arabic / English

Webinar Introduction to Clinical Research and Data Analysis Arabic / English

Study Design webinar Arabic / English

Study Design webinar Arabic / English

Exponential Models using R: Part (6)

Exponential Models using R: Part (6)

Exponential Models using R: Part (5)

Exponential Models using R: Part (5)

Exponential Models using R: Part (4)

Exponential Models using R: Part (4)

Exponential Models using R: Part (3)

Exponential Models using R: Part (3)

Exponential Models using R: Part (2)

Exponential Models using R: Part (2)

Exponential Models using R: Part (1)

Exponential Models using R: Part (1)

Agent Based Modeling using NetLogo: Simulation of Covid 19 Contagion Dynamics

Agent Based Modeling using NetLogo: Simulation of Covid 19 Contagion Dynamics

R tips and Tricks: export an aesthetically pleasing report from your R script in few seconds

R tips and Tricks: export an aesthetically pleasing report from your R script in few seconds

R tips and tricks: Output R console to text file using R sink() function

R tips and tricks: Output R console to text file using R sink() function

HTA workshop (Arabic): PSA using R Part 4 of 4

HTA workshop (Arabic): PSA using R Part 4 of 4

HTA workshop (Arabic): PSA using R Part 3 of 4

HTA workshop (Arabic): PSA using R Part 3 of 4

HTA workshop (Arabic): PSA using R Part 2 of 4

HTA workshop (Arabic): PSA using R Part 2 of 4

HTA workshop (Arabic): PSA using R Part 1 of 4

HTA workshop (Arabic): PSA using R Part 1 of 4

PSA using R: Hands-on tutorial

PSA using R: Hands-on tutorial

Biostatistics for Clinicians: Survival Analysis (Arabic) Corrected v2

Biostatistics for Clinicians: Survival Analysis (Arabic) Corrected v2

Arabic Webinar: Icebreaker Introduction to Health Informatics

Arabic Webinar: Icebreaker Introduction to Health Informatics

Diagnostic Test Evaluation Part 3 (Arabic)

Diagnostic Test Evaluation Part 3 (Arabic)

Biostatistics for Clinicians: Sample Size (Arabic)

Biostatistics for Clinicians: Sample Size (Arabic)

Diagnostic Test Evaluation Part 2 (Arabic)

Diagnostic Test Evaluation Part 2 (Arabic)

Diagnostic Test Evaluation Part 1 (Arabic)

Diagnostic Test Evaluation Part 1 (Arabic)

Discrete Event Simulation using R (3): Setting Priority

Discrete Event Simulation using R (3): Setting Priority

Simple Method to extract structured data from unstructured text using R

Simple Method to extract structured data from unstructured text using R

Discrete Event Simulation using R (2): Plotting and Replication

Discrete Event Simulation using R (2): Plotting and Replication

Discrete Event Simulation using R (1): Modeling of an Outpatient Clinic

Discrete Event Simulation using R (1): Modeling of an Outpatient Clinic

Clinical Research Informatics: Step by Step Part 11

Clinical Research Informatics: Step by Step Part 11

Clinical Research Informatics: Step by Step Part 10

Clinical Research Informatics: Step by Step Part 10

Clinical Research Informatics: Step by Step Part 09

Clinical Research Informatics: Step by Step Part 09

Clinical Research Informatics: Step by Step Part 08

Clinical Research Informatics: Step by Step Part 08

Clinical Research Informatics: Step by Step Part 07

Clinical Research Informatics: Step by Step Part 07

clinical protocol monitoring workflow

clinical protocol monitoring workflow

Intro to Clinical Research (Arabic) Part 1

Intro to Clinical Research (Arabic) Part 1

Clinical Research Informatics: Step by Step Part 06

Clinical Research Informatics: Step by Step Part 06

Clinical Research Informatics: Step by Step Part 05

Clinical Research Informatics: Step by Step Part 05

Evaluation of Clinical Decision Support (CDSS) Systems

Evaluation of Clinical Decision Support (CDSS) Systems

Solving linear equations using matrices

Solving linear equations using matrices

Introduction to Matrices

Introduction to Matrices

High Performance R Part 2: using C++

High Performance R Part 2: using C++

High Performance R Part 1

High Performance R Part 1

Age adjustment using R: The Direct and Indirect Methods of Adjustment

Age adjustment using R: The Direct and Indirect Methods of Adjustment

Arabic Text Mining Using R 2nd Edition

Arabic Text Mining Using R 2nd Edition

Clinical Research Informatics: Step by Step Part 04

Clinical Research Informatics: Step by Step Part 04

Clinical Research Informatics: Step by Step Part 03

Clinical Research Informatics: Step by Step Part 03

Clinical Research Informatics: Step by Step Part 02

Clinical Research Informatics: Step by Step Part 02

Clinical Research Informatics: Step by Step Part 01

Clinical Research Informatics: Step by Step Part 01

Probabilistic Sensitivity Analysis for Health Economic Evaluation using R

Probabilistic Sensitivity Analysis for Health Economic Evaluation using R

كيف تمكنت التجارب السريرية من انقاذ حياة الاف الاطفال على مستوى العالم ؟

كيف تمكنت التجارب السريرية من انقاذ حياة الاف الاطفال على مستوى العالم ؟

Answering Research Questions using Statistics: Level of air contaminant

Answering Research Questions using Statistics: Level of air contaminant

Bayesian Walk-through in R by Example (Arabic)

Bayesian Walk-through in R by Example (Arabic)

Read Write MySQL using R

Read Write MySQL using R

Deep Learning in Healthcare using R (part 2)

Deep Learning in Healthcare using R (part 2)

Deep Learning in Healthcare using R

Deep Learning in Healthcare using R

Management of Pain in Critical Care

Management of Pain in Critical Care

Cronbach's alpha using R

Cronbach's alpha using R

Critical Care Pharmacy AUDIO-CAST: VAP

Critical Care Pharmacy AUDIO-CAST: VAP

Brief Introduction to Data Warehousing

Brief Introduction to Data Warehousing

Calculate Vd, CL, Ke, and AUC from plasma concentration data

Calculate Vd, CL, Ke, and AUC from plasma concentration data

An "Ice-Breaker" Introduction to Ventilators

An "Ice-Breaker" Introduction to Ventilators

Critical Care Pharmacy: Shock part 2

Critical Care Pharmacy: Shock part 2

Critical Care Pharmacy: Shock part 1

Critical Care Pharmacy: Shock part 1

Shock: A very Brief Introduction

Shock: A very Brief Introduction

Maximum A Posteriori (MAP) Estimation using R: Pharmacokinetic Parameter Estimation

Maximum A Posteriori (MAP) Estimation using R: Pharmacokinetic Parameter Estimation

Add Labels to map using coordinates (GIS Part II)

Add Labels to map using coordinates (GIS Part II)

Plot GIS density map in 4 minutes using R (GIS Part I)

Plot GIS density map in 4 minutes using R (GIS Part I)

Logistic Regression Part 3

Logistic Regression Part 3

Logistic Regression Part 2

Logistic Regression Part 2

Logistic Regression Part 1

Logistic Regression Part 1

Pharmacometrics using R: PKPDsim Walkthrough Part 2

Pharmacometrics using R: PKPDsim Walkthrough Part 2

Pharmacometrics using R: PKPDsim Walkthrough Part 1

Pharmacometrics using R: PKPDsim Walkthrough Part 1

Create an attractive online dashboard using R

Create an attractive online dashboard using R

Data Simulation: Truncated Normal Distribution

Data Simulation: Truncated Normal Distribution

Weighted Average using R

Weighted Average using R

MANOVA using R

MANOVA using R

Blood Stream Infections: Data Manipulation using R Part 1

Blood Stream Infections: Data Manipulation using R Part 1

ANOVA, ANCOVA, MANOVA and MANCOVA: Understand the difference

ANOVA, ANCOVA, MANOVA and MANCOVA: Understand the difference

Blood Stream Infections: Data Manipulation using R Part 2

Blood Stream Infections: Data Manipulation using R Part 2

Contemplating Arabic Sentiment Analysis

Contemplating Arabic Sentiment Analysis

R and R Studio Installation Instructions

R and R Studio Installation Instructions

Using R for Clinical Research Data Analysis (Part 9) Arabic

Using R for Clinical Research Data Analysis (Part 9) Arabic

Using R for Clinical Research Data Analysis (Part 8) Arabic

Using R for Clinical Research Data Analysis (Part 8) Arabic

Using R for Clinical Research Data Analysis (Part 7) Arabic

Using R for Clinical Research Data Analysis (Part 7) Arabic

Using R for Clinical Research Data Analysis (Part 6) Arabic

Using R for Clinical Research Data Analysis (Part 6) Arabic

Using R for Clinical Research Data Analysis (Part 5) Arabic

Using R for Clinical Research Data Analysis (Part 5) Arabic

Using R for Clinical Research Data Analysis (Part 4) Arabic

Using R for Clinical Research Data Analysis (Part 4) Arabic

Using R for Clinical Research Data Analysis (Part 3) Arabic

Using R for Clinical Research Data Analysis (Part 3) Arabic

Using R for Clinical Research Data Analysis (Part 2) Arabic

Using R for Clinical Research Data Analysis (Part 2) Arabic

Using R for Clinical Research Data Analysis (Part 1) Arabic

Using R for Clinical Research Data Analysis (Part 1) Arabic

Nested Loops using R (Arabic)

Nested Loops using R (Arabic)

Bootstrapping using R (Arabic)

Bootstrapping using R (Arabic)

Game Theory using R (Arabic)

Game Theory using R (Arabic)

Reproducing heemod: Tornado Plot

Reproducing heemod: Tornado Plot

Reproduce heemod: Part 3 stochastic MM (non time varying)

Reproduce heemod: Part 3 stochastic MM (non time varying)

Reproduce heemod: Part 2 time varying MM (non stochastic)

Reproduce heemod: Part 2 time varying MM (non stochastic)

Reproduce heemod: Part 1_2 homogeneous MM Comb vs Mono Therapy HIV

Reproduce heemod: Part 1_2 homogeneous MM Comb vs Mono Therapy HIV

Reproduce heemod: Part 1_1 homogeneous MM 2X2 matrix

Reproduce heemod: Part 1_1 homogeneous MM 2X2 matrix

Probabilistic Uncertainty Analysis

Probabilistic Uncertainty Analysis

Deterministic Sensitivity Analysis

Deterministic Sensitivity Analysis

Time varying MM heemod

Time varying MM heemod

Exercise I ( R Lab): Choose the most cost-effective strategy

Exercise I ( R Lab): Choose the most cost-effective strategy

Exercise I: Choose the most cost-effective strategy

Exercise I: Choose the most cost-effective strategy

Pharmacoeconomics lecture 12: Transferability of Economic Evaluations

Pharmacoeconomics lecture 12: Transferability of Economic Evaluations

Pharmacoeconomics lecture 11: Systematic Reviews of Economic Literature

Pharmacoeconomics lecture 11: Systematic Reviews of Economic Literature

Pharmacoeconomics lecture 10: Modeling Approaches

Pharmacoeconomics lecture 10: Modeling Approaches

Pharmacoeconomics lecture 9: Economic Evaluation using decision analytic modelling

Pharmacoeconomics lecture 9: Economic Evaluation using decision analytic modelling

Pharmacoeconomics lecture 8: Uncertainty in economic evaluations

Pharmacoeconomics lecture 8: Uncertainty in economic evaluations

Pharmacoeconomics lecture 7: Economic Evaluation using patient-level Data

Pharmacoeconomics lecture 7: Economic Evaluation using patient-level Data

Pharmacoeconomics lecture 6: Differential Timing

Pharmacoeconomics lecture 6: Differential Timing

Pharmacoeconomics lecture 5: ICER

Pharmacoeconomics lecture 5: ICER

Pharmacoeconomics lecture 4: Measuring Outcomes

Pharmacoeconomics lecture 4: Measuring Outcomes

Pharmacoeconomics lecture 3: Cost

Pharmacoeconomics lecture 3: Cost

pharmacoeconomics lecture 2: Types of Economic Evaluations

pharmacoeconomics lecture 2: Types of Economic Evaluations

Simple MM R Lab

Simple MM R Lab

Simple MM homogeneous Markov using heemod

Simple MM homogeneous Markov using heemod

Introduction to heemod R LAB

Introduction to heemod R LAB

Introduction to heemod

Introduction to heemod