PCM: Biostatistics 2 Flashcards

1
Q

Name the two phases to statistical analysis.

A

Descriptive statistics and statistical inference

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2
Q

______ statistics are used to describe key study variables. Whereas ____________ is employed to make generalizations or to draw inferences about larger populations based on study data.

A

Descriptive; statistical inference

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3
Q

The simplest study has how many primary outcome variables?

A

One

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4
Q

For analytic purposes, variables are classified as ______ or discrete.

A

continuous

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5
Q

_____ variables, sometimes called quantitative or measurement variables, assume any value between a theoretical min and max. For example protein expression levels and serum biomarkers.

A

Continuous

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6
Q

_______ variables can be thought of as having a fixed number of categories. For example the categories male or female.

A

Discrete

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7
Q

Descriptive stats for continuous variables should always include a measure of location (i.e. the mean), and a measure of _________ (i.e. the standard deviation).

A

Variability

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8
Q

What is the appropriate measure of a typical value in the presence of extremes that may inflate the SD or Mean?

A

Median (i.e. the value that holds 50% of the values above it and 50% of the values below it)

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9
Q

For a normal distribution, the range (min-max) is approx. equal to the mean plus or minus ______ standard deviations. Any variables beyond that are considered extremes (outliers).

A

3 SDs

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10
Q

Limit the number of decimal places in tables to ______ decimal place(s) more than the original unit of measurement, so as not to overstate the precision of the analysis.

A

one

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11
Q

In relation to graphical displays, __________ plots are most appropriate for continuous outcomes.

A

Box-and-whisker plots

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12
Q

In relation to graphical analysis, ________ are the most appropriate for ordinal outcomes.

A

Histograms

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13
Q

In relation to graphical analysis, ________ are the most appropriate for categorical outcomes.

A

Bar charts

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14
Q

________ plots are appropriate when both variables are continuous.

A

Scatter plots

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15
Q

The ____________ refers to the entity on which measurements are made. For example, an individual.

A

Unit of analysis

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16
Q

_________ groups are physically separate and are comprised of distinct sampling units (e.g. different experimental units assigned to the active drug versus placebo).

A

Independent groups

17
Q

_________, matched, or paired groups are often produced when teh same sampling units are measured twice (e.g. before and after an exposure) or when the sampling units are paired (e.g. siblings, litter mates).

A

Dependent groups

18
Q

Name the two general areas of statistical inference.

A

Estimation and hypothesis testing

19
Q

In ________ of statistical inference, we generate confidence interval population parameters based on sample data appropriately accounting for sampling variability.

A

estimation

20
Q

In ______________ of statistical inference, we formally compare population parameters based on sample data, again accounting for sampling variability. We set up competing hypotheses (null and research hypotheses).

A

Hypothesis testing

21
Q

The null hypothesis represents:

A

That there will be no difference or no effect between two outcomes based on separate (although possibly identical or non-identical) treatment.

22
Q

The research hypothesis is:

A

States the anticipated or hypothesized difference or effect outcome between two identical or non-identical treatments.

23
Q

_________ is the probability of observing a test statistic as large or larger than that observed if the null hypothesis were true.

A

The p value

24
Q

A small p value, <________, would suggest that there is less than a 5% probability of observing a difference as large or larger than that observed in the study sample.

A

p value <0.05

25
Q

A p value <0.05 would likely lead to rejection or acceptance of the null hypothesis in favor of the research hypothesis?

A

Rejection, in favor of the research hypothesis.

26
Q

__________-sample studies are most useful when investigating new techniques or technologies.

A

One-sample

27
Q

Is confidence interval proportional to sample size?

A

No, inversely proportional. As sample size goes up, 95% confidence intervals tend to shrink in size.

28
Q

When there are more than two independent groups, the procedure to test for differences in means is _______.

A

Analysis of variance (ANOVA)

29
Q

T/F: in ANOVA, there are >2 independent groups, variances among groups are assumed to be equal and data are assumed to follow a normal distribution.

A

True

30
Q

If your number of independent sampling units is 5 and you are going to take 6 measurements of each over the period of the study, you will use this type of analysis:

A

Repeated-measures ANOVA

31
Q

When there are two or more independent groups and the outcome is dichotomous, the procedure to test for differences in proportions is the ________ test.

A

Chi-square test

32
Q
A