What's a double blind study?
146780
I think this is where they test say a drug and neither the participants or the people handing out the drug and taking notes knows who is getting the real drug or the placebo.
1073996
Just curious: If I gave you two studies without showing you who did them, would you be able to distinguish the "pseudo-religious studies that don't pass statistical muster" from the ones you claim you'd consider valid?\n\nPersonally, I think there's a lot of political baggage that is clouding the issue for both pro-gay and anti-gay people. The only way to sort through it is to be able to review both sides and take each study on its own merits.\n\nAs a generalization, I know that Dean Hamer and Simon LeVay (?), both probably the most famous homosexuals with research credentials, have both gone on record stating that psychosocial factors are partly involved and that at least half of the condition is not inherited. \n\nAnd they were never able to concretely locate a root biological source, although they found some interesting (but small) anomolies in brain structure that might or might not have bearing on homosexuality.\n\nJust the fact that there's a higher incidence of homosexuality in identical twins -- but only about 50% -- suggests that there are both biological AND environment/social components... which is what I certainly would expect.\n\nI'm not sure why people keep insisting that everything is genetic... and why that should either validate/invalidate the orientation. \n\nPeople seem more interested in justifying their political/religious viewpoint (either direction) rather than actually understanding the cause(s) of homosexuality.
147991
study, study and study and take vitaminE and ginko-biloba
570648
http://www.exploratorium.edu/snacks/blind_spot.html
855891
There is no answer to your trick question.  Some students can study for 1 hour, others for 24 hours.  Those that have "it", get "it".  Those that don't, just read a lot.\n\nHow many hours should a blind person stare at book in order for them to learn to read?
165097
Let's see from Mathematics view.\nStudy is a word.\nNo study is two words. But in this case, no study doesn't mean the word (no X study)\nNo study is definition of person who's not studying\n\nSo you cannot SIMPLY factorise it from\nStudy + No Study = Study (1 + No)\nIt's not right\n\nSame rules apply for 'fail' and 'no fail'\n\nFurthermore,\n\ngive 'study' = 5\nso 'no study' is 0,\nnot no = 0, and study is 5.\n\nBesides if you picture as unknowns,\n\nstudy =  A\nno study = B\n\nDon't simply play with maths without knowing the rules
1093369
study study study =] goodluck
898546
I think that is because all the studies in the past such as heart disease were done on men only,  So, they may be trying to get data now on how medicine effects woman.  There really should always be three studies going on at all times, one for men, one for woman and one for children.
1086125
this will be an iteresting study. Let us know how you fell and what your missing after you've done it.
873698
YES< YES< YES!  U know u don't need that crap to build up your body and besides ur messing with your metabolism.  There are ZERO that are safe!  Because there are no blind study test, it's only manuf. claims and little documentation. It is the most UNREGULATED, Multi billion dollar industry.
625211
study = no fail-->1\nno study = fail-->2\nadd 1 and 2\nstudy + no study = no fail + fail\nstudy ( 1 + no ) = fail ( 1 + no )\nstudy = fail.\njust for fun.
419243
drink to the point you have double vision!
966754
If it were just two independent and one dependent it would be classic ANOVA.  MANOVA is traditionally used for multiple dependent variables.  Imagine that you were ran the ANOVA for the entire sample, then run separate ANOVAs for each of the following:  above age above edu, above age below edu, below age above edu, and below age below edu.  In the separate runs the data would not be symmetrical (unless the age and edu distributions are completely homogenous) so comparing the relationships would be useless.  The same applies to if you ran an ANOVA for above age all edu, because if age and edu were at all correlated, the mean edu would differ from the full sample and you couldn't compare the two.  In SAS there are corrections for skewed data which you could feasibly use.  MANOVA is probably an option too, if you use some sort of repeated measures MANOVA (where one set of independents measures the dependent variable is the other set is age and edu (dichotomous) and they measure the dependent variables of the relationships of the first study) .
528804
I dont know, but maybe my insufficient answer will be digusting enough to someone that they will want to correct me. I'm just a patient.\nDrugs:\nFirst patent, step one: Scientists in lab make drug with trial and error on medium/animal until desired result. Data studied. Pill manufactured.\n\nStep two:Outside company is employed to do double-blind study using volunteering human beings taking drug or placebo. Data studied-Every reaction, drug interactions, side effects, etc. reported.\n\nGo back or on to:Step three: Outside company is employed to do double-blind study on volunteering human beings afflicted with the "target" illness with drug or placebo. Data studied. Specific benefits, specific time elements to improvements involved  vs every single side effect vs cost efficiency to both manufacturer and consumer evaluated. \n\nStep four: All data presented to FDA, is considered and approved based on all data or not approved and application is returned with reason for unapproval. Approval goes on to Patent (for 10 years for high cost of all this to be made up for by high cost paid for by patient)After that price drops to 2.00 for generic and 5.00 for name brand.\n\nIf its a big secret and no one really answers, then as a consumer I have to think a lot of money exchanges betweens hands and over great vacations and wonderful luxuries. \nI mean...they DO say "side effects can include... lah... tee... dah... tee... duh...in some cases serious side effects have been reported including heart attack, stroke and death""Talk to your doctor and ask if Curemeorkillme is right for you."(meanwhile we're watching happy people, frisbees on the beach, smiles, and loyal loving dogs lumbering in the sunshine). \n\nWhat I'd like to know is how does a publishing house or editor approve a written piece for publication?\n\nBUT...I really hope you do get an answer.
857324
In a controlled experiment, you control the variables and thus, you affect the outcome. In an observational study, you don't touch anything and you don't affect the outcome.
788587
The burden of double-dependency - Click on the link, is worth a read. Good luck!
32562
In a scientific experiment, the independent variable is the variable you manipulate--the one over which you have some degree of control (some people call these explanatory variables). For example, suppose you want to know whether caffeine causes headaches. You'd get a bunch of people, divide them into groups, and give each group a different dose of caffeine; then, some time later, you'd ask them how much their head hurts. In this case, caffeine is the independent variable, and headache is the dependent variable.\n\nMore complicated experiments can involve multiple independent variables and multiple combinations thereof. Let's say you want to do the reverse of the above study--you want to compare two drugs that alleviate headache. You'd get three groups and give each group a different dose of Drug 1; then you'd get another three groups and give each one a different dose of Drug 2. Then you could see which drug has the best effect at a particular dose, which drug has the best effect overall, and so on. You could also give another set of people both drugs, which would allow you to see if the combination had an additive effect or no effect at all. Studies like these get complicated and expensive: if you have two drugs and three possible doses per drug, you need six groups of subjects; if you want to test all possible combinations as well, you need another nine groups.\n\nTypically, you also want to include a control group in which subjects do not receive the independent variable at all (so now you have a sixteenth group in the second study). In the headache study, you'd want one group that didn't receive any drugs at all (or more properly a placebo). Here's why: suppose 5 of your control subjects reported that their headaches went away. Now suppose 5 of your subjects on the lowest dose of Drug 1 get better. Well, that's the same number as in the control condition, so as far as you can tell, giving the low dose of Drug 1 is no better than giving no drug at all; you would have to conclude that the low dose of Drug 1 had no detectable effect.\n\nAlso, in studies like these, you usually want to use a double-blind design and a placebo control so that the placebo effect doesn't give you misleading results.