Mobile auto detailing equipment becomes very inexpensive around March each year. If you look on eBay or your local classified section of the newspaper you will see. This is because mobile auto detailers are in a seasonal business. They find themselves scraping bottom when it is too cold to work because the water is freezing or it is raining and it becomes hard to sell detailing services. No one wants to see their business cards when it's raining. The only people who page them are their girlfriends who they can no longer take out for dinner or a movie. They can't use their car phone because it's been turned off by Verizon or Sprint. In a rainy year their cash reserve Ondrej Palat Olympics Jersey , if they had one, has been used up by mid January. They are eating Top Ramen by February. Their business no longer supports their needs. So they quit. Too bad for them; they obviously are not winners because: "Winner's Never Quit and Quitters Never Win!"
You will see lots of used equipment on the market in February and March. April and May many will try and start up again. They are undercapitalized. No money for marketing, no self-worth (deflated ego), no support system. Obviously Milan Michalek Olympics Jersey , this means no success. But if you wish to add onto your equipment or start an auto detailing business you can really build fast around all the weakened competition. You can also buy equipment for $ .20 on the dollar, not a bad start indeed.
If you start your business first week in April, you can initiate rainy day services marketing and coupon discounts to build your customer base. If you have a hot water pressure washer then you can set up a night crew, which can clean concrete and heavy equipment at an average of $400-500 per night. Rent-A-Car companies clean their cars rain or shine. Federal Express vans are cleaned nightly no matter what. Post Office jeeps normally are cleaned on Sundays on a calendar schedule. We have reasons for cleaning these types of vehicles and it does not matter if it is raining or not.
Sometimes in business the weather can work in your favor David Krejci Olympics Jersey , complaining about it will not help so use it to your advantage and win. Think about it.
"Lance Winslow" - If you have innovative thoughts and unique perspectives, come think with Lance; Estimating Survival in Metastatic Breast Cancer Posted On : Oct-21-2011 | seen (65) times | Article Word Count : 385 |
In a meta-analysis from Australia, Dr. Kiely and colleagues analyzed first-line chemotherapy randomized controlled trials involving patients In a meta-analysis from Australia, Dr. Kiely and colleagues analyzed first-line chemotherapy randomized controlled trials involving patients with metastatic breast cancer Dmitrij Jaskin Olympics Jersey , published between 1999 and 2009. They looked at disease and patient factors, as well as parameters of survival curves including overall survival (OS) and progression-free survival (PFS) from each trial. From each curve, they extracted the following percentiles: 90th (worst case), 75th (lower typical) Tomas Hertl Olympics Jersey , 25th (upper typical), and 10th (best case). The results showed that the mean median PFS was 7.5 months and mean median OS was 21.5 months, with a ratio of median OS to PFS of approximately 3. Means for each OS scenario were as follows:
鈥?Worst case (10th percentile), 6.25 months; 鈥?Lower typical (25th percentile) Ales Hemsky Olympics Jersey , 12 months; 鈥?Upper typical (75th percentile), 36 months; and 鈥?Best (90th percentile), 56 months.
Simple multiples of the median gave accurate estimates in excess of 95% of the OS curves for all scenarios, except for the worst-case scenario Martin Hanzal Olympics Jersey , for which simple multiples of the median gave accurate estimates in 73%.
Viewpoint Estimating survival probabilities for metastatic malignancies is a challenge for physicians. Considering the heterogeneity of disease and patient factors, it is desirable to approximate a potential prognosis not only to inform a patient and her loved ones but also to help guide therapeutic decisions.
This elegant analysis for patients eligible for first-line therapy for metastatic breast cancer likely included patients of a higher performance status and lower tumor burden than the average patient with metastatic breast cancer. In addition, many of the patients who were part of the meta-analysis had not received the community standard adjuvant therapies offered to patients today after initial diagnosis. As such, the estimates for survival from this analysis would likely be higher than we would expect in the average population of patients with metastatic breast cancer presenting in the community today.
Being able to provide this information as well as worst-case Michael Frolik Olympics Jersey , median, and best-case scenarios to patients and their family members is important to help them plan for the future and make choices for treatment and supportive care.