Biostats Flashcards

1
Q

mode

A

most frequent values

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2
Q

median

A

center value arranged from lowest to highest

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3
Q

Range

A

highest - lowest

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4
Q

Gaussian or normal distribution curvw

A

the mean, median, and mode are the same values

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5
Q

Skew

A

refers to the direction of the tail.

left skew (negative): more higher values

Right Skew (Positive): More lower values

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6
Q

Null Hypothesis

A

No statistically significant difference in the groups. what the person tries to reject

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7
Q

Alternative hypothesis

A

There IS a statistically significant difference

what the person tries to prove

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8
Q

Confidence Interval

A

CI = 1 - alpha

if it does not cross 0 or 1 it is significant

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9
Q

Type 1 error

A

False positive = Alpha

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10
Q

Type 2 error

A

False Negative = Beta

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11
Q

Power

A

Power = 1 - Beta

Is determined by outcome values, rate and significance

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12
Q

Risk

A

of unfavorable events in group / Total # in group

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13
Q

Relative Risk (RR)

A

Risk in Txt group / Risk in Control Group

RR = 1 no difference in risk
RR > 1 greater risk of the outcomes
RR < 1 lower (reduced) risk

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14
Q

Relative Risk Reduction (RRR)

A

1 - RR

Measures how much less likely the events risk is in the treatment group relative to the control group

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15
Q

Absolute Risk Reduction (ARR)

A

(% risk in control) - (% risk in treatment group)

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16
Q

Number needed to Treat (NNT)

A

1 / (ARR = % risk in control - % risk in txt)

Always round up no mater what

17
Q

Odds Ratio (OR)

A

Estimates the risk associated with the treatment or intervention in a case control study

18
Q

Hazard Ration (HR)

A

Hazard rate in txt group / HR in cont group

19
Q

Discrete Data (Categories)

A

Nominal (Categorical) Data - ordeer doesnt matter

EX: Sex, ethnicity, marital statis, religous preference

20
Q

Discrete Data (Rank in ORDER)

A

Ordinal Data - order matters

Ranked categories Ex: NYHA FC Class ranking, Pain scale 8 is worse than 7

21
Q

Continous Data (most measurements)

A

Ratio Data - meaningful values with a true meaningful 0. 0 = none

EX: Blood pressure ( 0 = death), time, wt, ht

22
Q

Continuous Data

A

Interval Data - meaningful values but without a meaningful 0

Ex: Temp

23
Q

Student t-test

A

Assess significance in studies with continuous data

24
Q

Chi-Square Test

A

Assess significance between treatment groups in a discrete data (nominal or ordinance)

25
Q

Independent variable

A

is manipulated by the researcher

Ex: drug doses, placebos

26
Q

Dependent variables

A

Comorbidity like HF diabetes, BP,

27
Q

Types of medical Studies

A

In order of most reliable to least

Systematic review and Meta > RCT> Cohort> case-contolled > case series/report> expert opinion

28
Q

Case-control study

A

Compares patients with a disease (cases) to those without the disease (control). the researcher looks back retrospectively

29
Q

Cohort Study

A

Compares outcomes of a patients exposed (txt) and not exposed (control) to a txt. The researcher looks progressively

30
Q

Cross-sectional survey

A

Estimates the relation between variables and outcomes at one particular time in a defined population

31
Q

Case report/Series

A

Describing a unique adverse reaction or unique condition that appears in a single patient (report) or few patients (series)

Think attridge starting one for the C.Diff bacteremia

32
Q

Randomized controll trial (RCT)

A

Compares and expiremental treatment to a control (placebo or standard) to determine which is better.

Contains Inclusion and exclusion criteria

33
Q

RCT crossover

A

Group 1 recieves txt a then switches to txt b

Group 2 recieves txt b then switches to a

34
Q

RCT factorial

A

randomizes more than the two usual groups

35
Q

Meta-analysis

A

Combines results from multiple studies in order ot develop a conclusion that has a greater statistical power than from the smaller studies

36
Q

Systematic Reviews

A

Summary of the clinical literature that focues on a specific topic or question.

Think about the systematic review you included in the letter to the editorial.