[06.05] Sample Size Estimation V2.pdf

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185 Terms

1
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Determining the minimum requirement for the number of samples in a research

What is sample size calculation?

2
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A problem

What is the consequence of having fewer samples than the minimum requirement?

3
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Acceptable, as this increases power

How is exceeding the sample size requirement viewed?

4
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Validity, reliability, and ethical conduct of health research

What three aspects of health research does sample size calculation directly impact?

5
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Precision and Reliability, Statistical Power, Cost-efficiency, and Ethical Considerations

What are the four main areas of importance for sample size calculation?

6
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Minimizing random variation in the data

How does sample size calculation ensure that study results are precise and reliable?

7
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By having sufficient samples

What action ensures precise and reliable results by minimizing random variation?

8
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Random error

What type of error is present in samples, suggesting a probability of missing the true parameter value with fewer samples?

9
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Results approach the true parameter value

What benefit does a greater sample size ensure regarding study results?

10
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Detect a true effect (or significant association/difference)

What ability of the study does statistical power determine?

11
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Reducing the risk of false-negative findings

What is the consequence of determining the ability to detect a true effect (statistical power)?

12
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Successfully reject a false null hypothesis

When is power achieved?

13
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Type II error

What is the failure to reject a false null hypothesis (a false-negative) called?

14
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Less power

What is the consequence of having fewer samples?

15
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Committing a Type II error

What is the consequence of having an underpowered test due to insufficient samples?

16
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An underpowered test

What must researchers rule out as the possible reason for failing to reject the null hypothesis when a true null hypothesis is present (i.e., no statistically significant difference)?

17
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Sufficient sample size

What is necessary to rule out an underpowered test?

18
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Optimize resource utilization

What process does sample size calculation help with regarding cost-efficiency?

19
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Minimum sample size required to achieve study objectives

What requirement does sample size calculation determine to optimize resources?

20
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To set your budget

What can knowing the minimum sample size requirement allow you to do?

21
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Minimizes unnecessary exposure of participants to potential risks

How does sample size calculation relate to ethical considerations?

22
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Avoiding overly large or small sample sizes

What specific practice regarding sample size minimizes unnecessary exposure of participants to potential risks?

23
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Experimental studies (e.g., vaccine efficiency, medicines, etc.)

What type of studies make minimizing participant exposure especially true?

24
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To avoid disrupting operations

In observational studies (e.g., NCDs), why is contacting the entire population in the hospital unnecessary?

25
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Population vs. Sample, Variability (Standard deviation), Effect size, Confidence Level, and Power

What are the five Key Concepts listed for sample size calculation?

26
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Measure of dispersion

What is Variability (Standard deviation)?

27
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Reflects the degree of spread or dispersion of values within a set of data

What does variability reflect?

28
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Larger sample size

What is required to achieve the same level of precision if variability is higher?

29
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Smaller sample size

What is required to achieve the same level of precision if variability is lower?

30
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Older literature

What must sample size calculation reference to assume parameters like mean, percentage, and variability?

31
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Magnitude of the difference or relationship between groups and variables

What is Effect size?

32
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Smaller sample size

What is required if the effect size is larger?

33
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The distance between the percentages displayed by both groups

What would the effect size be when comparing the prevalence of hypertension between smokers and non-smokers?

34
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High

If the difference in hypertension prevalence between smokers (70%) and non-smokers (20%) is 50%, how is the effect size described?

35
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A sample size of 30,000

If the effect size is 1% (40% vs. 39% prevalence of hypertension), what sample size should be expected?

36
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Odds ratio

What is another measure of effect size mentioned?

37
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Smaller sample size

What is implied if the odds ratio is more than 5 regarding the required sample size?

38
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To lessen the required sample size

Why are the indicators (confidence level, power) sometimes manipulated?

39
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Probability that the interval estimate for a population parameter from a sample will contain the true population parameter

What is the definition of Confidence Level?

40
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95%

What is the usual setting for the confidence level?

41
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It changes the Type I error (alpha error)

What is the consequence of changing the confidence level?

42
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Significance level

What is the complement of the confidence level?

43
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Probability of committing Type I error or alpha error

What is the significance level?

44
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0.05 or 5%

What is the usual setting for the significance level?

45
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Probability of correctly rejecting the false null hypothesis

What is Power?

46
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Ability to find true effect or difference between the factor and outcome if it exists in the population

What does power indicate?

47
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0.80 or 80%

What is the usual setting for power?

48
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Type II error or beta error

What is the complement of power?

49
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Single proportion, Comparing 2 proportions (Unmatched case-control, Cross-sectional/cohort/RCT), and Comparing 2 means

What are the three main sample size calculations focused on in the lecture?

50
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If the outcome of interest is quantitative

When is the 'Comparing 2 means' calculation used?

51
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Open Epi

What is the free online tool that can be used to perform statistical tests and sample size calculation?

52
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Slovin’s formula

What is the simplistic version of the sample size calculation for a proportion of % frequency in a population?

53
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0.5 or 50%

What estimated proportion ($\hat{p}$) does Slovin’s formula assume?

54
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Maximum sample size

What results from assuming an estimated proportion of 0.5 or 50% in Slovin’s formula?

55
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Smaller sample size

What results from veering away from 0.5 (higher or lower) in the estimated proportion?

56
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95% confidence level and 1.96 Z-score

What two values are used in the sample size calculation for a proportion of % frequency in a population?

57
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5% error/level of significance

What value is used for the level of significance in the sample size calculation for a proportion of % frequency in a population?

58
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Sample Size ($\text{n}$)

What variable is being computed for in sample size calculation?

59
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Design Effect ($\text{deff}$)

What variable stays at 1.0 in simple random sampling?

60
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To account for variability in complex random surveys

Why is the Design Effect increased?

61
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Cluster sampling

When must the Design Effect be increased (i.e., when using this sampling type)?

62
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Arbitrary and often based on assumptions on the parameters

What are the increase in design effect based on?

63
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Around 1000

When must Population Size ($\text{N}$) be computed?

64
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1 million

What value should N be kept at in populations estimated to be over 1 million (e.g., Pasig City)?

65
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From literature or close to literature

Where must the Estimated Proportion ($\hat{p}$) be taken from?

66
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Categorical variable (e.g., prevalence of disease or level of awareness)

What type of variable is used when applying the formula for single proportion?

67
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$\text{q} = 1 - \hat{p}$

What is the formula for $\text{q}$?

68
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Desired absolute precision or absolute level of precision ($\text{d}$)

What parameter is set by the researcher and can be adjusted for logistical constraints?

69
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A range of possible values from 45% to 55%

If the absolute precision is set to 5% with a proportion of 50%, what is the range of possible values?

70
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Statisticians prefer to stay within 5%

What is the preferred absolute precision by statisticians?

71
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To see if the sample size is decreasing

Why might a researcher adjust the absolute precision to numbers like 6% or 7%?

72
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If estimates are too high

When might the researcher adjust the absolute precision to handle logistical constraints?

73
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One million

What is the default value on OpenEpi for population size?

74
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When the population size is small

When does computing the population size reduce the sample size?

75
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An educated guess of the % of the population with the outcome of interest

What is the Anticipated % frequency ($\text{p}$)?

76
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50%

What percentage results in the largest sample size if the researcher is unsure of the percentage?

77
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How wide (in absolute terms) you would like the confidence interval to be around your point estimate

What are the Confidence Limits as +/-percent of 100?

78
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1

What is the Design Effect (DEFF) if simple random sampling is used?

79
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Frequently > 1 (ranging 2~10)

What is the typical range for DEFF if a cluster-type survey is used?

80
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384

What is the resulting sample size if the prevalence is 50% and absolute precision is 5% in the example?

81
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200

What is the minimum acceptable sample size that Prof. Sto. Niño is happy with for ASMPH students?

82
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Manipulate the confidence limits or the absolute precision

What is the suggested way for ASMPH students to reach the desired sample size if 384 is too high?

83
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Type II error

What type of error is increased when statistical power is decreased?

84
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False

Is it True or False that in sample size calculation for a single proportion, the deff is increased when employing simple random sampling?

85
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Desired absolute precision or absolute level of precision

What is the parameter that the researchers themselves can adjust for logical constraints?

86
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Unmatched Case-Control Study

What study design compares two proportions based on the disease of interest?

87
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Case (disease of interest) and Control (healthy population)

What are the two groups compared in an unmatched case-control study?

88
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Randomly selected

How is the control group selected in an unmatched case-control study?

89
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Proportional exposure between a case and control

What can be measured in a case-control study?

90
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Do not touch; stays at 95 only

What is the rule of thumb for the Confidence Level in comparing two proportions?

91
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80%

What is the lowest allowable power for an unmatched case-control study?

92
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1:1 ratio

What is the value of the Ratio of Controls to Cases if they are equal?

93
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Precision and more generalizability among the controls

What is the advantage of increasing the ratio of controls to cases (e.g., 4:1)?

94
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Odds Ratio, Percent of Controls Exposed, and Percent of Cases with Exposure

What three key values are needed for Unmatched Case-Control Sample Size calculation (at least two needed for OpenEpi computation)?

95
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Hypothetical Proportion of Controls with Exposure

In a study on smoking and cancer, where is the proportion of smokers who are free from cancer inputted?

96
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Hypothetical Proportion of Cases with Exposure

In a study on smoking and cancer, where is the proportion of smokers among breast cancer patients inputted?

97
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The likelihood of cancer among those who smoke is twice compared to those who do not smoke

What is the interpretation if the Odds Ratio is 2 (e.g., smoking and cancer)?

98
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Kelsey, Fleiss, and Fleiss with CC (Corrections)

What are the three resulting sample size values shown in OpenEpi for comparing 2 proportions?

99
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Whichever is the highest

What is the rule of thumb among the three resulting sample size values (Kelsey, Fleiss, and Fleiss with CC)?

100
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Look for studies with a larger effect size

What adjustment should be made if the total sample size (e.g., 288) is too high (besides not changing alpha/power)?