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Certified Biostatistician Professional Diploma

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Certified Biostatistician Professional Diploma Courses

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course
Biostatistics-Module (III)
  • trending
  • 17 Courses
  • 104 Students
  • All Levels

If you have reached this stage, we are really very proud of you.

  • 185 500
  • (4.8)
  • (4 ratings)
course
Biostatistics-Module(II)
  • trending
  • 33 Courses
  • 140 Students
  • All Levels

Great to meet you again!

  • 185 500
  • (4.9)
  • (3 ratings)
What you will learn
  • •Why Probability? •Probability values •Probability Line •Sample Space •Sample points •Events •The Special Additional Rul...
  • •Statistical reasoning •Null hypothesis •What are Alpha and Beta error •Odds ratio •Relative risk •Sensitivity and speci...
  • •Difference between a statistic and a parameter: •What us Z score •Fundamentals of t-distribution and equation •One samp...
  • Wilk test and •Kolmogorov-Smirnov •one-sample Wilcoxon signed rank test •Wilcoxon signed-rank Test •Mann Whitney U / Wil...
  • •Basic logic in categorical data testing •Chi-square null and alternative hypothesis •Chi square equation •Chi Square ca...
  • •Further insight on Chi square test •Example on Chi square test •R code for Chi square test •Fisher exact test equation...
  • •F distribution arise when we work on ratios of variance •Conducting One-Way ANOVA: Decomposing the •Total Variation •AN...
  • •MANOVA •ANCOVA •MANCOVA •Post hoc tests •Non parametric alternatives for ANOVA
  • •What is Factor Analysis? •Example •R code for Factor Analysis •uniquenesses •loadings •varimax rotation •promax” rotati...
  • •What is principal component analysis Standardize the range of continuous initial variables •Compute the covariance matr...
  • •What is principal component analysis Standardize the range of continuous initial variables •Compute the covariance matr...
  • •Compute the eigenvectors and eigenvalues of the covariance matrix to identify the principal components •Create a featur...
  • Writing a statistical analysis plan (part(1) 1. OVERVIEW AND STUDY PLAN 1.1 STUDY DESIGN 1.1.1 Inclusion Criteria: 1.1.2...
  • 1.3 STUDY ENDPOINTS 1.3.1 Primary Endpoints 1.3.2 Secondary Endpoints 1.3.3 Exploratory Endpoints 1.4 STUDY SAFETY
  • 1.5 DETERMINATION OF SAMPLE SIZE 1.6 STUDY PLAN 1.7 MODIFICATIONS FROM THE PROTOCOL 1.8 MODIFICATIONS FROM THE APPROVED...
  • 2. COLLECTED DATA 2.1 SITE QUESTIONNAIRE 2.2 SCREENING LOG 2.3 PATIENT DATA 3. GENERAL STATISTICAL APPROACH
  • 4. ANALYSIS OF SITE QUESTIONNAIRE 14 4.1 ANALYSIS VARIABLES 4.2 ANALYSIS POPULATION 4.3 STATISTICAL METHODS
  • 5. ANALYSIS OF SCREENING LOG 5.1 ANALYSIS VARIABLES 5.2 ANALYSIS POPULATION 5.3 STATISTICAL METHODS
  • 6. ANALYSIS OF PATIENT DATA 6.1 ANALYSIS VARIABLES 6.2 ANALYSIS POPULATION(S) 6.2.1 Intention To Treat (ITT) population:...
  • 6.3 STATISTICAL METHODS 6.3.1 Disposition of patients 6.3.2 Analyses of baseline characteristics
  • 6.3.3 Analyses of evaluation variables 6.3.3.1 Analysis of main evaluation variable(s) 6.3.3.2 Analyses of secondary eva...
  • 7. DATA HANDLING CONVENTIONS 7.1 DATA HANDLING CONVENTIONS FOR SITE QUESTIONNAIRE 7.2 DATA HANDLING CONVENTIONS FOR PATI...
  • 8. INTERIM ANALYSIS 9. SOFTWARE DOCUMENTATION
course
Biostatistics-Module(I)
  • beginner
  • 39 Courses
  • 193 Students
  • All Levels

And finally we meet!

  • 185 500
  • (5)
  • (11 ratings)
What you will learn
  • • Default R Console • Default R Editor • R Shortcuts • R Workspace, history • Files, Plots, Packages, Help
  • • Installing packages in R • Customizing R Start-up • Using ls and rm to managing R Objects • Types of R objects • A...
  • • Creating and accessing objects • Subset R objects using the "[", "[[", and "$" operators and logical vectors • Write...
  • • Use the apply family • User built functions in R • Final project: KAP Survey analysis • Validity
  • • Reliability • Descriptive • Hint on correlation • Hint on Logistic regression