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Biostatistics without the fear

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Meta-analysis: Interpret the EvidenceStatistics

Meta-analysis: Interpret the Evidence

Course overview A focused introduction to pooling decisions, forest plots and the limits of a summary estimate, using one guided example. Learning outcomes Recognize common effect measures and when pooling may be inappropriate. Interpret a forest plot, confidence interval and heterogeneity cautiously. Identify a useful sensitivity question and a limitation of the evidence. Curriculum When pooling helps and when it can mislead. Effect measures and extraction checks. Fixed-effect and random-effects models: the core distinction. Reading a forest plot and heterogeneity. Sensitivity analyses and missing-results concerns. Worked example: write a cautious synthesis interpretation. Practical output Interpret one supplied forest plot, justify a pooling decision and write a brief limitations note. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.

6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
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Advanced Biostatistics 2: Survival and Repeated MeasuresStatistics

Advanced Biostatistics 2: Survival and Repeated Measures

Course overview A focused overview of time-to-event and repeated-measure analyses, built around interpreting examples rather than mastering every model. Learning outcomes Recognize censoring and why repeated observations are not independent. Read a Kaplan–Meier plot and interpret a supplied hazard ratio. Identify when survival or repeated-measure methods need specialist input. Curriculum Follow-up, time origins and censoring. Reading a Kaplan–Meier plot. Cox regression and proportional-hazards assumptions. Repeated measurements and within-person dependence. Mixed and multilevel models: an introduction. Worked example: select the appropriate analysis family. Practical output Compare two short scenarios, choose the appropriate analysis family and interpret one supplied plot or estimate. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.

6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
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Advanced Biostatistics 1: Regression EssentialsStatistics

Advanced Biostatistics 1: Regression Essentials

Course overview A concise orientation to multivariable regression: what model outputs mean, which choices matter and which warning signs deserve attention. Learning outcomes Distinguish the purposes of linear and logistic regression. Recognize reference coding, confounding and interaction in a worked example. Identify important diagnostic questions before accepting a model result. Curriculum Regression questions: explanation, prediction and causal limits. Linear regression coefficients and uncertainty. Logistic regression and odds ratios. Reference groups, adjustment and interaction. Diagnostics, missing data and overfitting: an overview. Worked example: critique a short regression output. Practical output Annotate one supplied regression output and identify two interpretation or model-checking issues. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.

6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
View
Basic Biostatistics 2: Compare and InterpretStatistics

Basic Biostatistics 2: Compare and Interpret

Course overview A practical introduction to research comparisons, effect estimates and uncertainty, without a full statistical project. Learning outcomes Distinguish independent from paired observations. Match a simple research comparison to an appropriate method. Interpret an effect estimate, confidence interval and p-value cautiously. Curriculum From research question to a comparison. Independent versus paired observations. Comparing means, proportions and ordered outcomes. Effect sizes and confidence intervals. P-values, assumptions and common interpretation errors. Worked example: choose and explain one comparison. Practical output Choose an analysis for one short synthetic scenario and write a three-sentence interpretation of the supplied output. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.

6 lessons 0 enrolled
$29
Includes $20 for LLM/AI usage
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Basic Biostatistics 1: Understand Your DataStatistics

Basic Biostatistics 1: Understand Your Data

Course overview A focused introduction to reading, checking and describing medical research data through short lessons and one small practice exercise. Learning outcomes Recognize common variable types and data-quality problems. Choose suitable descriptive summaries and basic charts. Explain why a sample summary does not describe every patient with certainty. Curriculum Research questions and units of observation. Categorical and numerical variables. Missing values and simple data checks. Means, medians and measures of spread. Choosing a clear table or chart. Worked example: summarize a small teaching table. Practical output Complete a one-page description of a small synthetic teaching table, including one summary and one chart choice. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.

6 lessons 0 enrolled
$29
Includes $20 for LLM/AI usage
View
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AI

Artificial intelligence in clinical research

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Analytics

Turning clinical data into evidence

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Machine Learning

Models for diagnosis & prognosis

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Medical Illustration

Communicate science visually

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Pharmacy

Pharmaceutical research methods

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Statistics

Biostatistics without the fear

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