tag:blogger.com,1999:blog-15654301.post5810886200698933518..comments2024-02-24T04:43:56.829-05:00Comments on On Biostatistics and Clinical Trials: How to interpret odds ratios that are smaller than 1?Web blog from Dr. Denghttp://www.blogger.com/profile/11917138094035874938noreply@blogger.comBlogger40125tag:blogger.com,1999:blog-15654301.post-13685518863225096912023-09-20T07:18:27.793-04:002023-09-20T07:18:27.793-04:00Hi Dr Deng,
I would like to ask what are the like...Hi Dr Deng,<br /><br />I would like to ask what are the likelihood or reason for my odd ratio to be lesser than 1? <br />As the majority of the results I found were below 1 and I would need to justify the cause of the outcome for my research. <br /><br />Could you please help, I couldn't find any article to explain the reason for my result.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-68479805345409838832023-03-23T16:12:08.000-04:002023-03-23T16:12:08.000-04:00This was helpful going through all the questions a...This was helpful going through all the questions and answers. But I want to know if I can round 0.5 Odds ratio to make it 1?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-14327997847748199812022-09-05T07:21:18.616-04:002022-09-05T07:21:18.616-04:00Hii Dr Deng,
I'm analysing accident severity.(...Hii Dr Deng,<br />I'm analysing accident severity.(fatal & injury) How do i interpret Odds ratio of 5.63 (Head on) and (0.6) overspeeding in relation to accident severity. <br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-31182317759491134792022-08-30T10:54:53.814-04:002022-08-30T10:54:53.814-04:00I have a continuous variable and a categorical var...I have a continuous variable and a categorical variable (Normal bp and abnormal bp). I want to compare the level of the continuous variable in the categorical variable, how do I use logistics regression to get adjusted odd ratio for it?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-41586317139810011282022-03-01T22:08:57.897-05:002022-03-01T22:08:57.897-05:00Hello. How do i interpret
1. OR 0.2 (0.005-0.6),P-...Hello. How do i interpret<br />1. OR 0.2 (0.005-0.6),P-0.005<br />2. OR 0.2 (0.2-1.2), P-0.005<br />3. OR 0.2 (0.1-0.4),p <0.001Anonymoushttps://www.blogger.com/profile/01577108257003144395noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-53445088968581147062021-01-02T23:00:05.831-05:002021-01-02T23:00:05.831-05:00check the order of the outcome variable or the exp...check the order of the outcome variable or the explanatory variables. If you use SAS proc logistic, you may use the /descending option. Web blog from Dr. Denghttps://www.blogger.com/profile/11917138094035874938noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-32215129033140735372020-12-28T00:10:22.546-05:002020-12-28T00:10:22.546-05:00hi, can a model have all parameters that have p va...hi, can a model have all parameters that have p value less than 0.05 but the odd ratio is less than 1? and it is not continuous variable. how should i interpret them?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-39507081472855457622020-12-18T01:50:57.240-05:002020-12-18T01:50:57.240-05:00Pls pls plsPls pls plsAnonymoushttps://www.blogger.com/profile/13138300001479123798noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-41075770787879937152020-12-18T01:50:44.187-05:002020-12-18T01:50:44.187-05:00I have a question. I used anthropometric parameter...I have a question. I used anthropometric parameters such as mid arm circumference to predict low birth weight. So my outcome variable was coded as low birth weight 1 and normal weight 0. My OR for mid arm circumference is 0.09. How do I interpret this? Can I say with each unit increase in mid arm circumference the odds of predicting LBW is 0.09 or <br /><br />say 1/0.09= 11 so the odds of predicting LBW is 11 times less likely with a unit increase in mid arm circumference. Pls helpAnonymoushttps://www.blogger.com/profile/13138300001479123798noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-28842804569020374492020-12-18T01:49:20.788-05:002020-12-18T01:49:20.788-05:00I have a question. I used anthropometric parameter...I have a question. I used anthropometric parameters such as mid arm circumference to predict low birth weight. So my outcome variable was coded as low birth weight 1 and normal weight 0. My OR for mid arm circumference is 0.09. How do I interpret this? Can I say with each unit increase in mid arm circumference the odds of predicting LBW is 0.09 or <br /><br />say 1/0.09= 11 so the odds of predicting LBW is 11 times less likely with a unit increase in mid arm circumference. Pls helpAnonymoushttps://www.blogger.com/profile/13138300001479123798noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-48312290806212465082020-10-14T14:16:51.086-04:002020-10-14T14:16:51.086-04:00I really appreciate the way you made clear. My que...I really appreciate the way you made clear. My question is that; I am analysis measles vaccination uptake and associated factors, for example, one of my variable is "residence" (rural vs urban). I made the urban as the reference and I got an AOR of less than one. How can I interpretate. Anonymoushttps://www.blogger.com/profile/09030727342587910522noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-90310408651703507342020-08-07T06:15:28.207-04:002020-08-07T06:15:28.207-04:00Dr. Deng keep it up!!! I like all of your reply.
...Dr. Deng keep it up!!! I like all of your reply.<br /> Anonymoushttps://www.blogger.com/profile/03744754185803964408noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-28038614388945892242020-07-30T19:24:49.241-04:002020-07-30T19:24:49.241-04:00Thank you so much for this, it was very helpful. P...Thank you so much for this, it was very helpful. Please can this approach be used for values reported from regression analysis as well?<br />Busolahttps://www.blogger.com/profile/16519830719262190994noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-57085189220364068802019-11-21T03:48:25.460-05:002019-11-21T03:48:25.460-05:000.00001% odds meaning0.00001% odds meaningIrshadfazalhttps://www.blogger.com/profile/02467101406061789163noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-79873328037686016932019-10-01T02:25:06.597-04:002019-10-01T02:25:06.597-04:00Stuck on this study question, need help.
In a rec...Stuck on this study question, need help.<br /><br />In a recent article in the Annals of Improbable Research, Allen reported that the patients suffering from the Psoriasis who used his proprietary oil elixir properly resulted in an odds-ratio = .6 relative to controls who did not use his elixir, whose probability of suffering from the Psoriasis was only p = .3.<br /><br />(a) Describe the meaning of the odds-ratio for elixir users in words.<br />(b) What was the probability of suffering from the “Heartbreak of Psoriasis” for the elixir<br />group? annieblogs_xohttps://www.blogger.com/profile/07246295582107727335noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-1541960235800467552019-09-13T16:53:24.722-04:002019-09-13T16:53:24.722-04:00Pt who are suufering for dm has Odds ratio is. 34,...Pt who are suufering for dm has Odds ratio is. 34, reference pt who suffer for less than 5 y. What ll be interpretations? Anonymoushttps://www.blogger.com/profile/12811000621435118941noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-44036180423632536872019-03-04T20:59:04.868-05:002019-03-04T20:59:04.868-05:00If the odds for a categorical variable, yes or no ...If the odds for a categorical variable, yes or no where yes is used as a reference, produce an OR of 0.83..how do we interpret? Thank you in advance.Anonymoushttps://www.blogger.com/profile/15744262550978358454noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-78449494296202780252018-12-09T06:18:57.973-05:002018-12-09T06:18:57.973-05:00Dear Dr Deng
How are you? I have this paper o...Dear Dr Deng<br /><br /> How are you? I have this paper on Physical activity for smoking cessation in pregnancy: randomized control trial. https://www.bmj.com/content/350/bmj.h2145<br /><br />This is the question i have and i cannot understand or answer it<br /><br />1. Critically comment about the depth of precision of result<br /><br />Below were the results<br /><br /><br /><br />Outcomes Grp1(n=392) Grp2(n=393) Odds ratio(95% CI) adjusted odds ratio† (95% CI)<br />Primary: <br />At end of pregnancy 30 (8) 25 (6) 1.21 (0.70 to 2.10) 1.37 (0.78 to 2.41)<br /><br />Secondary: <br />4 weeks post-quit day, 50 (13) 61 (16) 0.79 (0.53 to 1.18) 0.87 (0.57 to 1.31)<br />6 months after birth 24 (6) 16 (4) 1.55 (0.81 to 2.97) 1.66 (0.82 to 3.37)<br /> <br /><br />Thanks A MillionJosephhttps://www.blogger.com/profile/17385132941343630366noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-19766321290660853342018-07-04T21:44:05.468-04:002018-07-04T21:44:05.468-04:00I disagree. Holcomb et al. (2001) report that 26% ...I disagree. Holcomb et al. (2001) report that 26% of authors in top-tier medical journals explicitly misinterpreted odds ratios as relative risk ratios, which are ratios of probabilities rather than odds. So, even seasoned researchers have tendency to use probabilistic language when discussing odds ratios. For example, often people say "boys are 4.91 times more likely to be recommended to remedial reading than girls" or "boys are 4.91 times as likely to b recommended..." Technically, the odds ratio should be summarized as "the odds of boys being recommended are 4.91 times the odds of girls being recommended". Well, odds ratios tend to exaggerate effects as Davies et al. (1998) demonstrate which is particularly egregious when the outcome being examined is not rare. Whenever possible, I would recommend using and calculating conditional probabilities. <br /><br />Having said that, the method of saying "85% less" and so on is not accurate. You should know that odds ratios are asymmetrical. For example, the entire infinity of decreasing relationships must fit between 0.000001 and 0.99999, while the same infinity of positive relationships fits in a much larger space between 1.00001 and well, infinite number. <br /><br />Okay so for readers wanting to hear a simple answer, here it is: My advice is to use "as likely" rather than "less or more likely." Another way of staying clear of trouble is to use language like "the odds of GROUP X having an outcome is that of GROUP Y."Anonymoushttps://www.blogger.com/profile/04956960957927789331noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-66887911714829277272017-11-13T19:46:59.207-05:002017-11-13T19:46:59.207-05:00yes, this is the way the people often use. It is m...yes, this is the way the people often use. It is more accurate to say that the odds of having an event is 85% less than the odds of not having an event or something along this line. Web blog from Dr. Denghttps://www.blogger.com/profile/11917138094035874938noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-25209712999782943772017-11-13T14:51:54.959-05:002017-11-13T14:51:54.959-05:00Hello-
I understand you recommend flipping the gro...Hello-<br />I understand you recommend flipping the groups so you have a positive odds ratio, instead of the negative effect of an odds ratio less than 1. However, how would you actually interpret and state something for odds ratio of .15? Would you say this group is 85% less likely to have the event occur?<br /><br />Thanks,Unknownhttps://www.blogger.com/profile/05602579917037261150noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-9957594625258482992017-10-16T11:56:20.139-04:002017-10-16T11:56:20.139-04:00Dear Dr Deng,
Concerning of our explanatory var...Dear Dr Deng, <br /><br />Concerning of our explanatory variable, the behaviour of participants in dummy variable in bivariate analysis using Chi-Square test. We noted participants which given coded 1, who did not use mosquito nets 3.12% having malaria than participants which given coded 0 [reference] who used mosquito nets at night as much 3.84% having malaria. OR = 0.805; Pv < 0.0000. [Binary logistic regression].In addition, participants were not using insecticide-treated nets (ITNs) which coded 1, amongst 3.08% having malaria than participants which given coded 0 [reference] who use insecticide-treated nets (ITNs) as much 5.89% contracting malaria. OR = 0.508; Pv < 0.0000. [Binary logistic regression]. as if, from this the percentage each group of participants is not relevant to basic theory. Please advice.<br /><br /><br />Regarding interpret odds ratios that are smaller than 1, is my interpretation below true? <br /><br />We observed that variables mosquito nets have OR = 0.805 means that in one group the outcome is 19.5 less likely malaria. Variables Insecticide-treated bed nets (ITNs) have OR = 0.508 means that the first group (participants who use ITNs) was less likely to experience malaria 49.2 than who did not use ITNs with P < 0·001. The theory result of odd ratio is connected with basic theory<br /><br /><br />Sincerely, <br /><br /><br /> <br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-47083488070614756072017-08-13T17:42:47.198-04:002017-08-13T17:42:47.198-04:00interpreting the odds ratio for continuous variabl...interpreting the odds ratio for continuous variable depends on the unit of the continuous variable. It will mean the odds increase for every one unit increase in the continuous variable measure. You can also computer the odds ratio for every 10 units or any number of increase in the continuous variable measure. Web blog from Dr. Denghttps://www.blogger.com/profile/11917138094035874938noreply@blogger.comtag:blogger.com,1999:blog-15654301.post-59703393381570763732017-08-13T12:09:01.218-04:002017-08-13T12:09:01.218-04:00
Hi,
How can interpret the odds of a continuous ...<br /><br />Hi,<br /><br />How can interpret the odds of a continuous variable (P sig .....odds=29.4)<br />and for (P sig.....odds 0.98)<br />ThanksAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-15654301.post-48345170008261494112016-09-02T21:04:33.637-04:002016-09-02T21:04:33.637-04:00yes, if you transform the point estimate of the OR...yes, if you transform the point estimate of the OR, the corresponding confidence interval will also be transformed. Web blog from Dr. Denghttps://www.blogger.com/profile/11917138094035874938noreply@blogger.com