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PP 2 - Personal Web Pages
PP 2 - Personal Web Pages

... How do you know when there is a statistically significant difference between the average scores you are comparing? ...
Neuralstem Final Phase I Depression Data Presented At The
Neuralstem Final Phase I Depression Data Presented At The

... from the Neuralstem NSI-189 Phase Ib study in major depressive disorder (MDD) was presented yesterday at the American Society of Clinical Psychopharmacology Annual Meeting in Hollywood, Florida. NSI-189 is Neuralstem's firstin-class, lead neurogenic small molecule compound, shown to promote neurogen ...
Practice II
Practice II

... coast of Australia are longer than great white sharks caught elsewhere? ...
Blinding/randomization reduces bias
Blinding/randomization reduces bias

... • Blind – one party does not know what treatment the subject is getting • Double blind – neither the subject nor the researcher know what treatment the subject is getting • Randomized: the patient is assigned to a study arm…. ...
Folie 1
Folie 1

... is a method (or tool) to decide whether an observed difference* is really present or just based on variation by chance ...
the standard error of the lab scientist
the standard error of the lab scientist

... In general, the standard error depends on the sample size: the larger the sample size, the smaller the standard error. This means that the term standard deviation in “  95% confidence intervals (mean plus minus two standard deviations)  ” better be referring to the sampling distribution, not the ...
Group work on Random Allocation
Group work on Random Allocation

... in cure rate would be clinically important. The alpha and beta were set at 0.1 and 0.1. The results will be analysed using Chi Square test. How many patients would be required for the trial? 3. The mean(SD) hospital stay of patients after a conventional surgical procedure (CP) is 12.3(4.8) days. A m ...
Designing Experiments: Sample Size and Statistical Power
Designing Experiments: Sample Size and Statistical Power

... level of say 0.005 instead of 0.05. If get P value < 0.005 in original experiment, the probability is greater than 80% that will get a P value < 0.05 in a replicate experiment. But if use 0.005 as alpha level, may require many animals, especially if effect is tiny or nonexistent.  If get P value = ...
June 10, 2004
June 10, 2004

... “… there may not be a large enough sample to see the effect size required for a successful outcome. Power calculations indicate that the study is looking for a 65% reduction in incidence of … [disease]. Wouldn’t it also be of interest if there were only a 50% or 40% reduction, thus requiring smaller ...
High risk corneal grafting - British Journal of Ophthalmology
High risk corneal grafting - British Journal of Ophthalmology

... applications and in trial protocols, which will be submitted to drug authorities; lacking information on intended sample sizes and the underlying statistical power often result in severe amendments or even rejection of the submission. Therefore, this editorial intends to increase flexibility of clin ...
Clinical Trials A short course
Clinical Trials A short course

... Drug Period j=2 ...
Biometry Assignment #5 ~ CI`s and Hypothesis Testing
Biometry Assignment #5 ~ CI`s and Hypothesis Testing

... of established trees. It is thought that a majority of the trees in the affected areas have a 1987 growth ring that is less than one half the size of the trees' other growth rings. A sample of 250 trees yielded 150 with this characteristic. Do these data support the claim that a majority of trees ex ...
Chapter 2 - Huber Heights City Schools
Chapter 2 - Huber Heights City Schools

... 2. median – the middle score 3. mean – the average score 4. variance (range) – a measure of how the scores are spread out D. standard deviation – describe the average distance of every score from the mean E. correlation coefficient – describes the direction and strength of the relationship between t ...
PSY2005 Week 8 - Complex Experimental Designs
PSY2005 Week 8 - Complex Experimental Designs

... Unsystematic variance (caused by things we ...
Biostatistics Breakdown
Biostatistics Breakdown

... Al-Qadheeb NS, et al. Impact of enteral methadone on the ability to wean off continuously infused opioids in critically ill, mechanically ventilated adults: A case control study. The Annals of Pharmacotherapy. 2012;46:11601166. Marcus M, et al. Kinematic shoulder MRI: The diagnostic value in acute s ...
Common types of clinical trial design, study objectives
Common types of clinical trial design, study objectives

... Calculating confidence intervals • The standard error of a sample statistic (such as sample mean) shows how precisely it has been estimated. • As the sample size increases we have a better estimate so the standard error is smaller • It is also small if there little variability in the general popula ...
Chapter 9. Comparing Two Population Means
Chapter 9. Comparing Two Population Means

... • Example 53. Heart Rate Reduction - A new drug for inducing a temporary reduction in a patient’s heart rate is to be compared with a standard drug. - Since the drug efficacy is expected to depend heavily on the particular patient involved, a paired experiment is run whereby each of 40 patients is a ...
Research Methods Review
Research Methods Review

... “Psychologists strive to benefit those with whom they work and take care to do no harm…Psychologists respect the dignity and worth of all people, and the rights of individuals to privacy, confidentiality, and self-determination.” (Ethical Principles of Psychologists and Code of Conduct, APA) ...
Chapter 13
Chapter 13

... differ from each other Does the mean of one group significantly differ from the mean of another group? = group difference / within group variability ...
Review of Chapter 11
Review of Chapter 11

... variation or version of the cause and uses metrics to determine the impact of the difference. An example of this is to have one website that randomly provides a different home page experience and using metrics to determine the impact of the differences between the two pages. • Observational studies ...
02-Health Research
02-Health Research

... • “After the fact” • Does not manipulate variables • Two groups – One with subject variable • (e.g Overweight) ...
dose-response and dose-effect relationships
dose-response and dose-effect relationships

... dose-response and dose-effect relationships The graph of the relation between dose and the proportion of individuals responding with an all-or-none effect; it is essentially the graph of the probability of an occurrence (or the proportion of a population exhibiting an effect) against dose. Typical e ...
Power of the test
Power of the test

... sample size or if there are some variables which are more likely to yield precise results than others. ...
< 1 ... 7 8 9 10 11

Effect size

In statistics, an effect size is a quantitative measure of the strength of a phenomenon. Examples of effect sizes are the correlation between two variables, the regression coefficient in a regression, the mean difference, or even the risk with which something happens, such as how many people survive after a heart attack for every one person that does not survive. For each type of effect-size, a larger absolute value always indicates a stronger effect. Effect sizes complement statistical hypothesis testing, and play an important role in power analyses, sample size planning, and in meta-analyses. They are the first item (magnitude) in the MAGIC criteria for evaluating the strength of a statistical claim.Especially in meta-analysis, where the purpose is to combine multiple effect-sizes, the standard error of effect-size is of critical importance. The S.E. of effect-size is used to weight effect-sizes when combining studies, so that large studies are considered more important than small studies in the analysis. The S.E. of effect-size is calculated differently for each type of effect-size, but generally only requires knowing the study's sample size (N), or the number of observations in each group (n's).Reporting effect sizes is considered good practice when presenting empirical research findings in many fields. The reporting of effect sizes facilitates the interpretation of the substantive, as opposed to the statistical, significance of a research result.Effect sizes are particularly prominent in social and medical research. Relative and absolute measures of effect size convey different information, and can be used complementarily. A prominent task force in the psychology research community expressed the following recommendation:
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