## Many HIV patients skip medications to drink: study

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• thorn27

Posts: 214
a study with 178 persons is hardly reliable
• calibro

Posts: 8888
thorn27 saida study with 178 persons is hardly reliable

that's not true at all.

"The estimator of a proportion is hat p = X/n, where X is the number of 'positive' observations (e.g. the number of people out of the n sampled people who are at least 65 years old). When the observations are independent, this estimator has a (scaled) binomial distribution (and is also the sample mean of data from a Bernoulli distribution). The maximum variance of this distribution is 0.25*n, which occurs when the true parameter is p = 0.5. In practice, since p is unknown, the maximum variance is often used for sample size assessments.

For sufficiently large n, the distribution of hat{p} will be closely approximated by a normal distribution with the same mean and variance.[1] Using this approximation, it can be shown that around 95% of this distribution's probability lies within 2 standard deviations of the mean. Because of this, an interval of the form

(hat p -2sqrt{0.25/n}, hat p +2sqrt{0.25/n})

will form a 95% confidence interval for the true proportion. If this interval needs to be no more than W units wide, the equation

4sqrt{0.25/n} = W

can be solved for n, yielding[2][3] n = 4/W2 = 1/B2 where B is the error bound on the estimate, i.e., the estimate is usually given as within ± B. So, for B = 10% one requires n = 100, for B = 5% one needs n = 400, for B = 3% the requirement approximates to n = 1000, while for B = 1% a sample size of n = 10000 is required. These numbers are quoted often in news reports of opinion polls and other sample surveys."
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thorn27 saida study with 178 persons is hardly reliable

Confidence Level: 99%
Sample Size: 178
Population: 34,000,000
Percentage: 51

Confidence Interval: 9.67

• Posted by a hidden member.
Abstracting up. The more important point here is "adherence to treatment regimen". And, this is not a new issue.

People may have a second chance at long full life if they go on anti-retroviral therapy.

People may blow that chance if they do not stick to their treatment regimen.

There are all kinds of "tips and tricks" on how to improve adherence to regimen. Something as simple as setting recurring reminders on your smartphone or other clock can help with remembering the correct time.
Keeping dosages with you at all times is a great way to not be without your meds when your dosage time comes.
There are all kinds of approaches.

From my observations as a board member of a nonprofit HIV/AIDS services organizations, the homeless and the mentally ill have the hardest time with adherence regimen.
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