Statistical Treatment for Hypothesis test - Cross Validated

Thalamus poststroke pain, mast cells and PEA: a new treatment hypothesis

Solved: Test the hypothesis of the treatment, Basic …

In January, 2007, in an effort to shed light on the validity of the Glutathione Depletion-Methylation Cycle Block (GD-MCB) Pathogenesis Hypothesis for Chronic Fatigue Syndrome (CFS), and to help clinicians to develop a practical treatment based on this Hypothesis, I suggested a simplified treatment approach. This approach is designed to lift the hypothesized methylation cycle block and to restore glutathione levels to normal. It was derived from a complete treatment program developed by Dr. Amy Yasko, N.D., Ph.D., for autism and other disorders that are also thought to involve methylation cycle block and glutathione depletion.

Test the hypothesis that the treatment means are equal

the opposite of the research hypothesis. The null hypothesis states that any effects observed after treatment (or associated with a predictor variable) are due to chance alone. Statistically, the question that is being answered is "If these samples came from the same population with regard to the outcome, how likely is the obtained result?"

I would like to describe the history of the Glutathione Depletion-Methylation Cycle Block (GD-MCB) Hypothesis and the simplified treatment approach that is based upon it, and point out what I think the early treatment results mean with regard to this Hypothesis. But before I do so, I want to emphasize the following cautionary statements:

Hypothesis | definition of hypothesis by Medical …

That means the new treatment does not perform poorer than the active control/placebo appreciably.
Assume the values to the right of zero correspond to a better response with the new drug
The values to the left indicate that the control is better,
Testing Superiority
Superiority means
a treatment is more effective than the active control by the superiority margin δ, stated in the alternative hypothesis

Hypothesis: H : H :
Non-inferiority vs.

Looking for online definition of hypothesis in the Medical Dictionary

The (or hypotheses -- there may be more than one) is our working hypothesis -- our prediction, or what we expect to happen. It is also called the - because it is an alternative to the null hypothesis. Technically, the claim of the research hypothesis is that with respect to the outcome variable, our samples are from different populations (remember that refers to the group from which the sample is drawn). If we predict that math tutoring results in better performance, than we are predicting that after the treatment (tutoring), the treated sample truly is different from the untreated one (and therefore, from a different population).

Meaning of hypothesis medical term

The significance level (also known as the "critical value" or "alpha") you should use depends on the costs of different kinds of errors. With a significance level of 0.05, you have a 5% chance of rejecting the null hypothesis, even if it is true. If you try 100 different treatments on your chickens, and none of them really change the sex ratio, 5% of your experiments will give you data that are significantly different from a 1:1 sex ratio, just by chance. In other words, 5% of your experiments will give you a false positive. If you use a higher significance level than the conventional 0.05, such as 0.10, you will increase your chance of a false positive to 0.10 (therefore increasing your chance of an embarrassingly wrong conclusion), but you will also decrease your chance of a false negative (increasing your chance of detecting a subtle effect). If you use a lower significance level than the conventional 0.05, such as 0.01, you decrease your chance of an embarrassing false positive, but you also make it less likely that you'll detect a real deviation from the null hypothesis if there is one.

Statistics: Null hypothesis - UC Davis, Psychology

In a test of superiority, to examine the effect of a test drug,
H is the response of test drug is less than that of placebo by δ.
H is the response of test drug is greater than that of placebo.

The test helps us to see whether the test drug is superior to the placebo by an amount of δ.
Four Types of Test Hypotheses
Testing Equality
Testing Non-inferiority
Testing Superiority
Testing Equivalence
Null hypothesis
a general or default position that we want to disprove or reject

Alternative hypothesis
the position opposite to the null hypothesis that new belief is suggested
Hypothesis test check whether the evidence is significant or not to reject the null hypothesis (the original belief) and establish a new belief (the alternative hypothesis).

Tests for the equality of a sample value with a targeted constant value
Tests for the equality between treatment and active control/placebo.
where δ>0 is the non-inferiority margin, superiority margin or equivalence margin
T: Treatment
C: Control

Testing Equivalence
It refers to the difference of treatment and active control is within specific amount (δ) in either direction (positive or negative)

Hypothesis: H : H :
Equality and equivalence are two different concepts.
Equality only focuses on whether the values are equal or not.