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Study design

Six Easy Ways to Complicate Your Analysis

by Karen Grace-Martin  Leave a Comment

It’s easy to make things complex without meaning to. Especially in statistical analysis.

Sometimes that complexity is unavoidable. You have ethical and practical constraints on your study design and variable measurement. Or the data just don’t behave as you expected. Or the only research question of interest is one that demands many variables.

But sometimes it isn’t. Seemingly innocuous decisions lead to complicated analyses. These decisions occur early in the design, research questions, or variable choice.

[Read more…] about Six Easy Ways to Complicate Your Analysis

Tagged With: complex analysis, simple analysis, Study design

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  • Member Training: Writing Study Design and Statistical Analysis Plans

Member Training: Writing Study Design and Statistical Analysis Plans

by TAF Support  Leave a Comment

One component often overlooked in the ‘Define & Design’ phase of a study, is writing the analysis plan. The statistical analysis plan integrates a lot of information about the study including the research question, study design, variables and data used, and the type of statistical analysis that will be conducted.

[Read more…] about Member Training: Writing Study Design and Statistical Analysis Plans

Tagged With: choosing statistical analysis, planning, Statistical analysis, Study design

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Types of Study Designs in Health Research: The Evidence Hierarchy

by guest contributer  Leave a Comment

by Danielle Bodicoat

Statistics can tell us a lot about our data, but it’s also important to consider where the underlying data came from when interpreting results, whether they’re our own or somebody else’s.

Not all evidence is created equally, and we should place more trust in some types of evidence than others.

[Read more…] about Types of Study Designs in Health Research: The Evidence Hierarchy

Tagged With: evidence hierarchy, generalized linear model, logistic regression, Study design, Survival Analysis

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The Right Analysis or the Best Analysis? What to Do When You Can’t Run the Ideal Analysis 

by Karen Grace-Martin  Leave a Comment

One activity in data analysis that can seem impossible is the quest to find the right analysis. I applaud the conscientiousness and integrity that underlies this quest.

The problem: in many data situations there isn’t one right analysis.

[Read more…] about The Right Analysis or the Best Analysis? What to Do When You Can’t Run the Ideal Analysis 

Tagged With: choosing statistical analysis, communicate results, data analysis plan, data issues, Research Question, Study design

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Eight Data Analysis Skills Every Analyst Needs

by Karen Grace-Martin  2 Comments

It’s easy to think that if you just knew statistics better, data analysis wouldn’t be so hard.

It’s true that more statistical knowledge is always helpful. But I’ve found that statistical knowledge is only part of the story.

Another key part is developing data analysis skills. These skills apply to all analyses. It doesn’t matter which statistical method or software you’re using. So even if you never need any statistical analysis harder than a t-test, developing these skills will make your job easier.

[Read more…] about Eight Data Analysis Skills Every Analyst Needs

Tagged With: checking assumptions, Data Analysis, data anlyst, data cleaning, data issues, graphs, interpreting, Research Question, researcher, results, Study design

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Strategies for Choosing and Planning a Statistical Analysis

by Karen Grace-Martin  7 Comments

The first real data set I ever analyzed was from my senior honors thesis as an undergraduate psychology major. I had taken both intro stats and an ANOVA class, and I applied all my new skills with gusto, analyzing every which way.

It wasn’t too many years into graduate school that I realized that these data analyses were a bit haphazard and not at all well thought out. 20 years of data analysis experience later and I realized that’s just a symptom of being an inexperienced data analyst.

But even experienced data analysts can get off track, especially with large data sets with many variables. It’s just so easy to try one thing, then another, and pretty soon you’ve spent weeks getting nowhere. [Read more...] about Strategies for Choosing and Planning a Statistical Analysis

Tagged With: Censoring, data analysis plan, level of measurement, Missing Data, Multicollinearity, outliers, Research Question, small sample, statistical distributions, Study design, truncation

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